Understanding 'Psychopathic AI': An Analysis of Norman, the First Case Study

The world debut of 'Norman', an AI model developed by MIT, is raising eyebrows due to its 'psychopathic' behavior. This incident offers a unique opportunity to explore responsible AI governance and safety measures in the context of AI incidents. Norman's actions underscore the need for robust guardrails and trustworthy AI management systems to prevent potential harm. Stay tuned as we continue to monitor and analyze such developments within HISPI Project Cerebellum TAIM. Through JOIN US, contribute to our efforts in ensuring safe and secure AI.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 1.2 — similarity 0.537, rank 1. TAIM detail and related incidents →
MAP 1.3 — similarity 0.534, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.530, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/41

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.